全部 AI 动态
AI at Meta@AIatMetaAI 评分4848
Anthropic@AnthropicAIAI 评分5858
Google AI@GoogleAIAI 评分6262Google 发布 Gemini 3.8 Flash TTS 和 Gemini 3.8 Flash-Lite TTS 两款语音模型,支持 100 多种语言的自定义音色和 2000 多种现成音色。

Google DeepMind@GoogleDeepMindAI 评分6060
Qwen@Alibaba_Qwen精选AI 评分7878阿里发布 Qwen Intelligence,首批上线 Mobile Planner、Mobile-Use、Mobile Creative 三款手机端智能体。
推荐理由:官方给出三个手机端智能体的分工与基准成绩,并同步开放评测套件,便于判断移动端智能体当前能力边界。
Qwen@Alibaba_Qwen精选AI 评分7878阿里发布 Qwen-Audio-3.1,ASR、TTS 与 Realtime 全面升级,并新增 TTS-Next 和 ASR-Next 两款模型,共五款模型覆盖理解、生成、交互与创作。
推荐理由:官方一次性给出五款音频模型的能力分工与降价幅度,可据此判断语音链路的选型与成本变化。
Qwen@Alibaba_QwenAI 评分5858引用Arena.ai@arenaQwen-Image-2.1 by @Alibaba_Qwen just landed as the #1 open source model in the Image Edit Arena and Text-to-Image Arena! With 1367 pts in the Image Edit Arena, Qwen-Image-2.1 took the #1 spot among open. It landed #16 overall, just 3 pts from GPT-Image-1.5-high-fidelity at #15. See the leaderboard for the Text-to-Image arena below. Congrats to the @Alibaba_Qwen team on this contribution to the open source ecosystem!
Sam Altman@samaAI 评分1515初创公司天生擅长这一点;但要让一家更大的公司也保持这种能力却很难,我认为这是一个尚未被充分探索的领域。
引用pranav@prd_008OpenAI's superpower is the ability to swiftly assemble an empowered group of highly capable people to work on the most important and urgent thing at any point of time. No one really cares for org lines. It's how we stay nimble, seize opportunities, and recover from mistakes.
Qwen@Alibaba_QwenAI 评分3333来自 @inteldevs 的 Day-0 OpenVINO 支持!🥳 Qwen-Image-2.1 已可在 Intel 硬件上优化运行。一个开放权重 checkpoint,同时支持生成与编辑。👇
引用Intel Devs@inteldevsWe're excited to offer Day0 OpenVINO support for Qwen-Image-2.1 Read more about what you can accomplish here: https://ms.spr.ly/6019a5nm5
Qwen@Alibaba_QwenAI 评分4242感谢 @sgl_project 的 day-0 支持!🙌 SGLang-Diffusion 现已支持 Qwen-Image-2.1:文生图、多图编辑和透明 RGBA 输出。快来试试!🎨
引用SGLang@sgl_projectDay-0 support for @Alibaba_Qwen’s Qwen-Image 2.1 is here in SGLang-Diffusion! 🖥️ Native precision on a single RTX 4090 24GB with CPU offload - 1024×1024 generation in 18.7s and image editing in 21.7s with 22.7 GiB peak GPU memory during requests. - On an RTX PRO 6000 96GB: 8.0s generation and 9.6s editing. 🎨 Text-to-image, multi-image editing, and transparent RGBA output—all with one checkpoint. ⚡ Native inference with TP/SP, LoRA, and OpenAI-compatible APIs. 40 denoising steps, one image per request, warmed HTTP latency including PNG output. No quantization. Cookbook and GPU-specific commands below 👇
Qwen@Alibaba_Qwen精选AI 评分6767引用Hugging Apps@HuggingAppsQwen Image 2.1 is here! 🖼️ A 7B params native image generation and editing model, with up to 10 image references The model comes with it's own prompt enhancement LLMs, integrated with diffusers 🧨 and ComfyUI ▶️ on Spaces https://huggingface.co/spaces/hugging-apps/qwen-image-2-1
推荐理由:Qwen-Image-2.1 在 Hugging Face Spaces 上线可直接试用的在线 demo,读者无需配置环境即可体验生成与编辑共用一个 checkpoint 的效果。
Qwen@Alibaba_QwenAI 评分4242Qwen-Image-2.1 现已在 ComfyUI 中支持!立即试用并分享你的创作!🖼️
引用ComfyUI@ComfyUIQwen-Image-2.1 is now supported in ComfyUI! Open weights. One 7B checkpoint that generates and edits. → Image generation at native 2K → Instruction editing from up to 10 reference images in a single pass → RGBA output, alpha included
Qwen@Alibaba_QwenAI 评分5858引用vLLM@vllm_projectQwen-Image-2.1 from @Alibaba_Qwen has day-0 support in vLLM-Omni. 🎉 Generate, edit, and create transparent images with one model: a 7.1B DiT paired with Qwen3-VL-8B. Setup and supported combinations 👇 https://recipes.vllm.ai/Qwen/Qwen-Image-2.1
Qwen@Alibaba_Qwen精选AI 评分7575推荐理由:官方给出 7B 轻量架构、原生 RGBA 透明图层与最多 10 张参考图编辑等能力,可据此判断开源图像模型的实际可用边界。
Qwen@Alibaba_QwenAI 评分2222实用 AI 解决现实问题的绝佳范例!速度前所未有。感谢使用 Qwen 构建。@cerebras 快来亲自试试!🏠
引用Cerebras@cerebrasWe built Money Agent, a personal finance assistant powered by @Alibaba_Qwen 3.8 27B on Cerebras. Now you can turn a home-buying question into a real-time conversation, then into a financial goal, faster.
Qwen@Alibaba_Qwen精选AI 评分6767推荐理由:官方给出延迟从 2.8s 降到 2.3s 和三项新能力,可据此判断实时同传的可用边界。
Qwen@Alibaba_Qwen精选AI 评分8080阿里 Qwen 团队发布 Qwen3.8-Omni-Flash,称其为 Qwen 首个围绕智能体能力构建的全模态模型,将原生音视频理解、推理与工具调用整合在一个模型中。
推荐理由:官方给出音视频智能体能力、基准提升与视频输入成本降幅,可据此判断长音视频场景的落地成本。
AI at Meta@AIatMetaAI 评分5858引用Muse@MuseMuse is now available on Mac 💻. Your personal agent can get things done for you directly on your computer (all with your explicit permission). - Organize your downloads folder - Find a file you’ve lost track of - Summarize your messages and notes …more coming soon. Try Muse for Mac: http://ai.meta.com/muse/download/
Google DeepMind@GoogleDeepMindAI 评分3030@BroadInstitute、@UniofExeter 及其他机构的研究人员已在用 AlphaGenome Atlas,更好地识别潜在的致病 DNA 变异并解读其作用。🧵

Google AI@GoogleAI精选AI 评分7878
推荐理由:两款音频模型分别面向低延迟对话与复杂任务推理,读者可据此判断语音交互的适用边界。
Google DeepMind@GoogleDeepMind精选AI 评分7272推荐理由:官方给出两款对话模型在后台持续处理任务的能力定位,可据此判断实时语音交互的边界。
Google DeepMind@GoogleDeepMindAI 评分2222天气预报在向可再生能源转型中发挥着关键作用。 WeatherNext 3 为电网运营商以及风能和太阳能发电企业提供风机高度风速和太阳辐射的预测,助力更智能、更清洁的能源规划。🧵

Mira Murati@miramuratiAI 评分2020我们正在构建机器智能,以扩展人类的意志与判断力。很高兴你能加入团队,帮助我们弄清楚如何让这样的未来安全可靠。
引用Neil Chowdhury@ChowdhuryNeilI’ve joined @thinkymachines to work on safety & alignment. The default trajectory is that as AI gets more powerful, control over it will concentrate in the hands of a few. I’d rather build safety systems that let control over AI be shared widely. Longer thoughts below.
Qwen@Alibaba_QwenAI 评分4242快速遇上开源。🚀 Qwen3.8-27B 现已在 @cerebras 上运行,推理速度飞快。立即体验!
引用Cerebras@cerebrasQwen3.8-27B is now live at Cerebras speed. The dense, open-weight model from @Alibaba_Qwen scores 34 on the Artificial Analysis Intelligence Index—making it comparable to models such as GPT-5.6 Luna, DeepseekV4 Pro, and Claude Sonnet 4.6.
Mira Murati@miramuratiAI 评分2222一场关于 AI 将走向何方、以及我们面前还有哪些工作要做的重要对话。
引用Thinking Machines@thinkymachinesOur own @johnschulman2 talks with Dwarkesh about where human judgment still matters as models improve and self-improve: teaching them to handle messy real-world tasks, applying taste to what works in the long run, and, above all, specifying what we actually want.
Google AI@GoogleAIAI 评分2020哦,原来这就是我们绘制雄性果蝇全部 166,000 个神经元图谱的原因。来看看这项社区大规模协作成果,展示这些微小果蝇大脑究竟有多大能耐 🪰🧵
Google AI@GoogleAI精选AI 评分7070
推荐理由:官方给出 Google Pics 的图像编辑能力与订阅、Workspace 开放范围,可据此判断可用性。
Hugging Face@huggingfaceAI 评分2020
DeepSeek@deepseek_ai精选AI 评分7272DeepSeek 发布 DeepSeek-V4.1-Flash,称其为新架构家族中参数规模最小的模型,并原生支持视觉理解。官方表示该模型面向更强能力、更快推理和更高吞吐设计,并可扩展至更大模型。
推荐理由:DeepSeek 新架构家族的最小模型,原生支持视觉理解,并强调推理速度与吞吐。
AI at Meta@AIatMeta精选AI 评分7575Meta 发布个人智能体 Muse,由 Muse Spark 1.3 驱动,可在生活各场景中替用户完成任务。官方同时给出介绍页面,说明 Muse 的构建过程与具体能力。
引用Muse@MuseIntroducing Muse, your personal AI agent from Meta that gets things done across every part of life. Download the Muse app and get started: https://Muse.ai
推荐理由:Meta 官方发布个人智能体 Muse,并给出构建思路与能力说明的入口。
Google AI@GoogleAI精选AI 评分6666Google 推出 AlphaGenome Atlas,一个面向基因组学发现的可交互平台,把 AlphaGenome 的预测扩展到人类基因组全部 90 亿个单字母变异,形成约 1PB 数据集。
推荐理由:原文交代了平台如何把 AlphaGenome 的预测扩展成 1PB 数据集,并给出零代码检索入口,便于读者判断它对基因研究流程的改变。
AI at Meta@AIatMeta精选AI 评分6868
推荐理由:Meta 公开 AIRA₃ 在 Kaggle 微调竞赛中的名次与参赛条件,可据此判断自主研究系统在模型能力改进上的位置。
AI at Meta@AIatMetaAI 评分6262引用Alexandr Wang@alexandr_wang1/ we just publicly released Muse Spark 1.3 max! we see significantly stronger coding and agentic performance on muse spark 1.3 max, so would strongly recommend trying it out even if you've already tried muse spark 1.3 high or muse spark 1.3 xhigh.